APD: ARM Deceptive Phishing Detector System Phishing Detection in Instant Messengers Using Data Mining Approach

Deceptive Phishing, is the major problem in Instant Messengers, one is able to disclose sensitive information, including personal information, fact or even patterns that are not supposed to be disclosed, the simplistic solution to address this problem of privacy in Instant Messengers (IM) is presented using Association Rule mining technique a data mining approach. Online criminals have adapted traditional fraudulent schemes like phishing in electronic form. Increasingly, such schemes target an individual’s IM where they mingle among masked by honest communications. The targeting and conniving nature of these schemes are an infringement upon an individual’s personal privacy as well as a threat to personal safety. In order to focus on privacy preserving the proposed APD (Anti phishing detector) system embeds association rule mining (ARM) technique in IM’s to detect deceptive phishing. There are many techniques developed to tackle e-mail phishing, a little research literature not yet done on deceptive phishing in Instant Messengers where the identification of user is often unknown to users. This is one of the motivating factor for the research project described, tested and experimented.